bioinformatics-ua/MicroGES

R solution to identify gene expression signatures in microarray datasets

A solution to identify a gene expression signature in microarray datasets

Installation

Automatic installation with Conda

conda install -c ieeta micro_ges --yes

Documentation

More documentation about the system is available here.

Team

• Olga Fajarda¹
• Sara Duarte-Pereira^1,2
• João R. Almeida^1,4
• Raquel M. Silva³
• José L. Oliveira¹

1. Dept. Electronics, Telecommunications and Informatics (DETI / IEETA), University of Aveiro, Aveiro, Portugal ↩
2. Dept. Medical Science and iBiMED-Institute of Biomedicine, University of Aveiro, Aveiro, Portugal ↩
3. Faculdade de Medicina Dentária, CIIS-Centro de Investigação Interdisciplinar em Saúde, Universidade Católica Portuguesa, Campus de Viseu, Viseu, Portugal ↩
4. Dept. of Information and Communications Technologies, University of A Coruña, A Coruña, Spain ↩

Cite

Please cite the following, if you use MicroGES in your work:

in progress...

Issues

Please let us know if there are any issues.

License

MicroGES is under GPL-3.0 license. For more information, click here.